MATERIALS AND METHODS: A systematic literature search was performed through SCOPUS database and Google Scholar from January till March 2018. All published articles which developed stature estimation from different types of bone, methods and type of statures (i.e. living stature, forensic stature and cadaveric stature) were included in this study. Risks of biases were also assessed. Population studies with no regression equations were excluded from the study.
RESULTS: Seven studies that met the inclusion criteria were identified. In the South-East Asia region, regression equations for stature estimation were developed in Thailand and Malaysia. In these studies, bone measurements were done either by radiography, direct bone measurement, or palpation on body surface for anatomical bony prominence. All of these studies used various parts of bones for stature estimation.
CONCLUSION: The most widely used regression equations for stature estimation in South-East Asian population were from the Thailand population. Further research is recommended to develop regression equations for other South-East Asian countries.
OBJECTIVES: To examine the differentials and determinants of the utilization of private providers for family planning services.
METHOD: This study used the 2014 Malaysian Population and Family Survey data. Cross-tabulations and logistic regression were performed on 1,817 current users of modern methods.
RESULTS: Overall, 26% of modern method users obtained their supplies from private clinics/pharmacies and 15.2% from other sources, such as drug stores and sundry shops. The odds of utilizing the private sector for family planning services differ significantly across regions and socio-economic groups. The odds of obtaining supply from the private clinics/pharmacies were higher among the Chinese and urban women (AOR > 1), and it was lower among those from the eastern region (AOR = 0.47, 95% CI = 0.30-0.73). Non-Bumiputera, urban, higher educated, and working women, and those whose husbands decided on family planning had higher odds of obtaining the supply from the other sources (AOR > 1).
CONCLUSION: The private sector complements and supplements the public sector in providing family planning services to the public.
STUDY DESIGN: This was a cross-sectional comparative study in a Malaysian tertiary obstetric hospital involving 200 non-smoking pregnant women at term, of whom 100 were secondhand smokers and 100 were non-secondhand smokers. Those with multiple pregnancies, with a body mass index (BMI) of more than 30kg/m2or who delivered by Caesarean section were excluded. The participants' basic demographic details, delivery details, neonatal outcome and placental weight were recorded. Umbilical cord blood samples were obtained, and cord blood cotinine levels were measured with a Cotinine ELISA kit. The primary outcomes were baby's birth weight, length, and head circumference, Apgar score at 5min and placental weight. The secondary outcome was difference in cord blood cotinine levels between the two groups and the correlation of these differences with the neonatal outcome.
RESULTS: The secondhand smoker group had significantly lower baby weight (2.94±0.31kg vs 3.05±0.40kg), head circumference (30.87±2.35cm vs 37.13±2.36cm), length (46.58±1.95cm vs 51.53±2.05cm) and placental weight (520±73.5g vs 596±61.3g) and significantly higher cord blood cotinine levels (16.35±12.84ng/mL vs 0.56±0.22ng/mL). Cord blood cotinine levels had significant negative correlations with placental weight (r=-0.461), baby's weight (r=-0.297), baby's head circumference (r=-0.501) and baby's length (r=-0.374).
CONCLUSION: Secondhand smoke increases the incidence of adverse pregnancy outcomes (newborns'anthropometric measurements and placental weight) and causes higher cord blood cotinine levels.